LATEST PROJECTS
Project | 01
Project | Empathetic Dialogue System
This project aims at build a dialogue system that is able to trigger and respond to user's emotional change. We interpret "empathy" as the ability of causing user's emotional ups and downs. In this research, we automate the procedures of detecting potential utterances that are able to trigger emotional changes and that of decision making based on reasoning result of the emotional changes.
Project | 02
Project | LCXEMO
Project LCXEMO is a project I worked with Couger Inc. (https://couger.co.jp/). The aim of this project is to predict emotional status of both interlocutors in a given dialogue. This project implemented a set of emotion prediction models to give a visualized emotional status fluctuation. This project co-works with existing dialogue system in Couger Inc, LanguageCortex to provide affective level emotional computation.
Project | 03
Project | TSEiA : The Story Envisioning Agent
TSEiA is a system built on Unity3D game engine. The final target of TSEiA is to create and visualize interactive stories through natural language. Interactive stories is a very powerful tool in a lot of situations such as training, education, etc. However, it is always very time-consuming to create interactive stories with a lot of branches. TSEiA provides an easy approach to create those interactive stories as well as visualize and act the story as movies and dramas.
Project | 04
Project | Virtual Reality Conversation Envisioning Framework
VRCE framework is an integrated conversation envisioning framework built in virtual reality. The VRCE provides chatting and motion recording system. The conversation between two participants will be recorded and then regenerated to them. The participants will then give envisioning to their own conversation.
Project | 05
Project | Virtual Reality Graphic Recorder
VRGR is a conversation training system built in virtual reality. Trainees are required to finish the given conversation scenario by doing their own choices at specific branching points. Different choice will lead to different result of the conversation. We're interested in how do participants decide their choices based on their own cultural background and knowledge. In some cases, with envisioning given, we can show the significance of the envisioning.